Dennis Säring

Prof. Dr. Dennis Säring is a faculty member at the University of Applied Sciences Wedel, specifically affiliated with the School of Engineering. His academic and research activities focus on Deep Learning, Medical Image Analysis, and applications of Artificial Intelligence in healthcare and biomedical imaging. He has led seminars on Deep Learning topics and supervised student projects in Autonomous Driving at Audi's AADC 2018 competition.

• Research Highlights: Cardiovascular imaging, forensic age estimation via MRI, neural network-based bone segmentation, and cerebrovascular aneurysm analysis.
• Technical Expertise: Cardiac MRI, 3D/4D image processing, parametric mapping, and spatiotemporal data fusion.

His recent publications (2018-2023) emphasize 3D MR segmentation for age assessment, CMR strain analysis in athletes, and T1/T2 mapping for myocarditis. Key collaborations include institutions like the University Medical Center Hamburg-Eppendorf and Wedler Hochschulbund, with funding for autonomous vehicle research. While no explicit scientific awards are listed, his work spans clinical cardiology, forensic radiology, and AI-driven medical diagnostics.